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Behavior of Available End-to-end Bandwidth: Non-Parametric Approach

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4 Author(s)
Chobanyan, A. ; Dept. of Comput. Sci. & Eng., Michigan State Univ. ; Mutka, M. ; Levental, S. ; Ning Xi

The emerging development of remote sensing and control technology gives rise to new types of real-time networking applications that require "pro-active" quality of service guarantees. In particular, it is important to predict the probability that the available end-to-end bandwidth drops below a specified quality-critical threshold for a given period of time. We refer to such a probability as to a "crossing probability". In this work we develop a non-parametric approach for prediction of the "crossing probability" for an arbitrarily taken Internet path. We also provide a "self-check" and therefore are able to evaluate the accuracy of our prediction. Experimental verification of prediction accuracy is based on real-life measurements collected from multiple Internet paths

Published in:

Quantitative Evaluation of Systems, 2006. QEST 2006. Third International Conference on

Date of Conference:

11-14 Sept. 2006